Grasshopper AI Visibility Market Strategy Report - Business Phone Systems

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Grasshopper has positive sentiment and no negative mentions, so the issue is visibility and placement rather than reputation.
  • The brand appears in 30.8% of qualified observations but converts only 24.8% into valid recommendations, showing a gap between presence and shortlist eligibility.
  • Copilot is Grasshopper’s strongest platform for top-three and rank-one placement, while Perplexity and ChatGPT lag behind.
  • Grasshopper’s raw presence declined over three months, but its placement quality improved when it did appear, pointing to a surfacing problem.

Answer Capsule

Grasshopper holds 24.8% valid recommendation coverage in the October 2026 Business Phone Systems benchmark, ranking sixth of ten tracked brands. The brand is visible but under-recommended: it appears in 30.8% of qualified observations yet converts only a fraction of that presence into shortlist placement, with a 6.1% top-three rate and a 2.4% rank-one rate. The clearest weakness is a three-month presence decline that has not been matched by a positioning decline, which points to a surfacing problem rather than a framing problem. The clearest opportunity is converting Grasshopper's existing recommendation quality within the answers where it already appears into broader shortlist eligibility across the Brand Recommendation cluster.

Who This Report Is For

This report is for Grasshopper's marketing, demand generation, and product marketing leadership, and for category analysts tracking how AI search and chat surfaces present small business phone system brands at the recommendation stage.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Grasshopper

Category / market studied

Business Phone Systems

Reporting month

October 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1 qualified (Brand Recommendation)

AI observations analyzed

669 qualified observations

Competitors tracked

9

Executive Summary

Grasshopper is visible in the Business Phone Systems category but is not converting that visibility into recommendation-stage strength at the rate its presence would support. The brand recorded 206 present observations out of 669 qualified observations in October 2026, a raw mention presence rate of 30.8%, yet its valid recommendation coverage was 24.8% and its top-three rate was 6.1%. That gap between presence and placement is the central finding of this report.

The sentiment picture is clean. Grasshopper recorded 172 positive mentions, 34 neutral mentions, and zero negative mentions in October 2026, producing a net sentiment score of 0.835. The brand is not being framed negatively by AI systems. It is being framed positively but placed low, which is a different problem than reputation damage.

The strongest platform signal for Grasshopper is Copilot, where the brand recorded a 19.8% top-three rate and a 9.9% rank-one rate, both well above its category-wide placement metrics. The weakest platform signal is Perplexity, where Grasshopper recorded a 4.8% top-three rate, a 0.0% rank-one rate, and a 12.1% valid recommendation coverage rate. The gap between Copilot and Perplexity placement is the clearest platform-level inconsistency in the dataset.

The benchmark's trend series shows Grasshopper declining from 33.1% valid recommendation coverage in July 2026 to 24.8% in October 2026, an 8.3 percentage point drop that registered as significant against baseline and extended across three consecutive months. Raw mention presence fell 9.3 percentage points over the same window, from 40.1% to 30.8%. The decline is a surfacing decline, not a sentiment decline.

Within the answers where Grasshopper does appear, recommendation quality improved. The top-three rate rose 2.2 percentage points to 6.1%, and the rank-one rate rose 1.1 percentage points to 2.4%, with 16 rank-one recommendations in October 2026 against 8 in July 2026. The brand converts a smaller presence into stronger placement, which suggests the issue is how often AI systems surface Grasshopper, not how they describe it when they do.

All 669 qualified observations in October 2026 fell into the Brand Recommendation cluster. The public benchmark does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison clusters, so this report cannot assess how Grasshopper performs on pricing or head-to-head comparison prompts.

What Grasshopper Is Winning

Questions This Section Answers

  • Where does Grasshopper's framing quality rank against competitors like Dialpad Meetings?
  • On which platform is Grasshopper's recommendation quality strongest relative to its overall footprint?
  • How does Grasshopper's rank-one rate compare with 8x8, Vonage, and GoTo Meeting despite lower mention presence?

Grasshopper's clearest win is framing quality. The brand recorded zero negative mentions across 206 present observations in October 2026, and its net sentiment score of 0.835 is the second highest in the tracked set behind Dialpad Meetings at 0.912. AI systems are not producing cautionary or negative framing about Grasshopper.

The second win is placement quality within the answers where the brand appears. Grasshopper's rank-one rate of 2.4% is higher than 8x8 at 0.3%, Vonage at 0.9%, and GoTo Meeting at 0.0%, despite Grasshopper having lower raw mention presence than 8x8 and Vonage. The brand is being placed first more often than several competitors with larger presence footprints.

The third win is Copilot performance. On Copilot, Grasshopper recorded a 19.8% top-three rate and a 9.9% rank-one rate, both materially above its category-wide metrics. Copilot is the platform where Grasshopper's recommendation quality is strongest relative to its overall footprint.

These wins are real but narrow. Grasshopper does not hold a leadership position on any platform, does not lead any cluster, and does not have a presence advantage over the top four brands in the category.

Where Grasshopper Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How large is the gap between Grasshopper's presence and its valid recommendation coverage?
  • Where does Grasshopper stand on top-three placement compared with RingCentral, Nextiva, and Zoom Phone?
  • On which platforms is Grasshopper's rank-one rate at or near zero?

Grasshopper's clearest gap is the distance between presence and recommendation conversion. The brand appears in 30.8% of qualified observations but receives valid recommendation credit in only 24.8% of them. That 6.0 percentage point gap means roughly one in five appearances does not convert into a shortlist placement.

The second gap is top-three placement. Grasshopper's 6.1% top-three rate places it sixth in the category, behind RingCentral at 64.7%, Nextiva at 54.9%, Zoom Phone at 44.2%, Ooma at 22.3%, and Vonage at 6.7%. The brand is being shortlisted at roughly one-tenth the rate of the category leader and at less than one-third the rate of the fourth-place brand.

The third gap is rank-one placement. Grasshopper's 2.4% rank-one rate is higher than several competitors but still means the brand is the first recommendation in fewer than three in one hundred qualified observations. RingCentral holds first position in 44.7% of qualified observations, Nextiva in 10.5%, and Ooma in 6.7%. The distance between Grasshopper and the leadership cluster on first-position placement is substantial.

The fourth gap is platform inconsistency. On Copilot, Grasshopper recorded a 9.9% rank-one rate. On Perplexity, the brand recorded a 0.0% rank-one rate. On ChatGPT, the rank-one rate was also 0.0%. The brand's first-position strength is concentrated on a single platform rather than distributed across the surface universe.

The fifth gap is the three-month presence decline. Grasshopper's raw mention presence fell from 40.1% in July 2026 to 30.8% in October 2026, a 9.3 percentage point decline that registered as significant. The benchmark flags this as a surfacing issue, meaning AI systems are retrieving and citing Grasshopper less often, not describing it less favorably.

Biggest Opportunity

Questions This Section Answers

  • Which platforms offer Grasshopper the clearest path to extending its Copilot placement pattern?
  • Which Brand Recommendation prompt families should Grasshopper prioritize to improve shortlist eligibility?

Grasshopper's biggest opportunity is closing the gap between presence and shortlist eligibility on the platforms where the brand already has a foothold. The brand's Copilot performance shows that AI systems can place Grasshopper in the top three and in first position when the retrieval and citation layer supports it. The opportunity is to extend that pattern to ChatGPT, Perplexity, and the Google surfaces where Grasshopper's placement metrics trail its Copilot results.

This is a recommendation-readiness problem, not a reputation problem. The brand has clean sentiment, a positive framing profile, and demonstrated placement capability on at least one platform. The work is to make the public evidence layer that supports those placements more retrievable across the full surface universe, particularly on the platforms where Grasshopper currently appears without converting.

The specific prompt families to prioritize are the Brand Recommendation prompts where Grasshopper appears in the answer but not in the shortlist. The benchmark's cluster prompt examples include queries such as "business phone systems," "voip phone service," "cloud phone system," "voip services," "business phone services," "voip providers," "virtual office phone answering service," "business phone solutions," "phone systems for small business," and "How much do landlines cost per month?" These are the discovery and consideration prompts where shortlist eligibility is formed.

Competitive Landscape

Questions This Section Answers

  • Who leads the Business Phone Systems category on top-three and rank-one recommendation rates?
  • Where does Grasshopper sit in the tracked set on top-three rate, rank-one rate, and average recommended rank?

RingCentral holds dominant recommendation power in the Business Phone Systems category with a 64.7% top-three rate and a 44.7% rank-one rate. Nextiva is the strongest challenger at 54.9% top-three and 10.5% rank-one, and Zoom Phone holds the third position at 44.2% top-three and 6.3% rank-one. Grasshopper sits in the lower half of the tracked set, below Ooma and Vonage on top-three rate and above 8x8, Dialpad Meetings, and GoTo Meeting.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

RingCentral

64.72%

44.69%

1.75

0.8065

Nextiva

54.86%

10.46%

2.57

0.8240

Zoom Phone

44.25%

6.28%

3.00

0.8428

Ooma

22.27%

6.73%

3.76

0.8170

Vonage

6.73%

0.90%

4.55

0.6337

Grasshopper

6.13%

2.39%

4.51

0.8350

8x8

5.68%

0.30%

4.45

0.7555

Dialpad Meetings

4.93%

0.00%

4.05

0.9119

GoTo Meeting

0.30%

0.00%

5.30

0.7222

Microsoft SharePoint

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Grasshopper's position in the table shows a brand with competitive sentiment but limited shortlist conversion. Its 6.13% top-three rate places it sixth, and its 2.39% rank-one rate places it sixth as well. The brand's average recommended rank of 4.51 is the fifth lowest in the set, meaning that when Grasshopper does receive rank credit, it typically lands in the middle of the recommendation list rather than at the top.

Prompt Evidence

Questions This Section Answers

  • What does Grasshopper's performance on the "business phone systems" prompt show about its Copilot placement?
  • How does Grasshopper's outcome on the "voip providers" prompt on Perplexity compare with its Copilot results?

Copilot / Brand Recommendation Prompt: "business phone systems" Result: Grasshopper appeared in the top three and received rank-one credit, consistent with the brand's strongest platform placement metrics.

Perplexity / Brand Recommendation Prompt: "voip providers" Result: Grasshopper appeared in the answer but did not receive top-three or rank-one placement, consistent with the brand's weakest platform placement metrics.

ChatGPT / Brand Recommendation Prompt: "phone systems for small business" Result: Grasshopper was mentioned with positive framing but did not receive rank-one credit, reflecting the brand's pattern of presence without first-position conversion on ChatGPT.

Google AI Overviews / Brand Recommendation Prompt: "business phone solutions" Result: Grasshopper appeared in the answer with a top-three rate of 3.6% on this platform, below its category-wide placement metrics.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompt families where Grasshopper appears without converting to shortlist placement, and identify which competitors absorb the recommendation credit in those answers.

Phase 2: Recommendation Readiness Plan Prioritize the platforms and prompt clusters where Grasshopper's placement metrics trail its presence metrics, starting with Perplexity and ChatGPT where rank-one conversion is currently zero.

Phase 3: Owned Answer Layer Buildout Strengthen the owned pages and structured content that AI systems retrieve when forming business phone system recommendations, with emphasis on the small business and VoIP service prompt families where Grasshopper already appears.

Phase 4: Citation / Authority Layer Development Develop the third-party review, comparison, and category source footprint that supports shortlist eligibility, since the benchmark shows Grasshopper's own domain does not appear in the top 10 cited domains while nextiva.com, ringcentral.com, and vonage.com do.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Grasshopper's presence, valid recommendation coverage, top-three rate, and rank-one rate month over month to confirm whether the three-month presence decline reverses and whether placement metrics hold.

Why This Matters

AI presence alone is not enough. Grasshopper appears in nearly one in three qualified observations, but it is shortlisted in fewer than one in four and placed in the top three in fewer than one in sixteen. Buyers using AI search and chat surfaces to form a business phone system shortlist will see Grasshopper mentioned, but they will see RingCentral, Nextiva, and Zoom Phone recommended ahead of it.

The next move is targeted correction of the prompt, page, and citation layers that determine whether a mention becomes a recommendation. Grasshopper's clean sentiment profile and demonstrated Copilot placement show that the brand can be recommended when the retrieval and citation layer supports it. The work is to make that support consistent across the platforms and prompt families where buyers are forming their shortlists.

Core Metrics

Metric

Value

Mentions

206

Valid recommendations

166

Top 3 recommendation count

41

Rank #1 recommendation count

16

Average recommended rank

4.51

Positive mentions

172

Neutral mentions

34

Negative mentions

0

Raw mention presence rate

30.79%

Valid recommendation coverage

24.81%

Top 3 recommendation rate

6.13%

Rank #1 recommendation rate

2.39%

Net sentiment score

0.8350

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Copilot

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Grasshopper in October 2026: (172 × 1 + 34 × 0 + 0 × -1) / 206 = 0.8350.

This matters because unclassified mention counts are misleading. A brand with 206 mentions and a 0.835 sentiment score is in a different position than a brand with 206 mentions and a 0.40 sentiment score, even though the raw mention count is identical. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates brands that are being recommended from brands that are merely being named.

Grasshopper's 0.835 sentiment score indicates that AI systems frame the brand positively when they mention it. The brand's problem is not framing quality. It is the frequency and prominence of the mentions themselves.

Sentiment by Platform

Questions This Section Answers

  • On which platforms does Grasshopper have the strongest and weakest sentiment scores?
  • Which platforms show Grasshopper present but with low or zero top-three placement?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Copilot

37

24

13

0

0.6486

Strongest placement signal

Google AI Mode

59

49

10

0

0.8305

Present, moderate placement

Google AI Overviews

52

49

3

0

0.9423

Positive, low top-three conversion

ChatGPT

13

12

1

0

0.9231

Positive, sample too small

Gemini

32

28

4

0

0.8750

Present, not recommendation-led

Perplexity

13

10

3

0

0.7692

Present, no rank-one placement

Methodology

  1. This report is a benchmark-based AI Visibility Company Market Strategy Report for Grasshopper in the Business Phone Systems category, produced from the LLM Authority Index October 2026 measurement and the associated CiteWorks Studio analysis.
  2. The reporting month is October 2026, with trend comparisons against the July 2026 baseline and the September 2026 prior month where the benchmark provides them.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six qualified in the October 2026 benchmark.
  4. The October 2026 measurement analyzed 669 qualified observations, drawn from 800 source prompt-surface observations, 513 unique questions, and 790 relevant prompts after qualification.
  5. The competitor universe contains 10 tracked brands: 8x8, Dialpad Meetings, GoTo Meeting, Grasshopper, Microsoft SharePoint, Nextiva, Ooma, RingCentral, Vonage, and Zoom Phone. Microsoft Teams exited the tracked set earlier in the series and does not appear in the October 2026 comparable set.
  6. One public high-intent cluster qualified in October 2026: the Brand Recommendation cluster, which captures discovery and consideration prompts. The Pricing & Value and Multi-Brand Comparison clusters recorded zero qualified observations and are not assessed in this report.
  7. The benchmark uses a stage 0 extraction layer that retains the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is counted when Grasshopper appears in an AI response to a qualified observation, regardless of placement or framing.
  9. A valid recommendation is counted when Grasshopper appears in a valid recommendation shortlist within a qualified observation. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless the dataset explicitly marks them as valid.
  10. Top-three rate is the share of qualified observations where Grasshopper appears in one of the top three recommended positions. Rank-one rate is the share of qualified observations where Grasshopper is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
  11. Brand-level percentages are calculated within the qualified benchmark set of 669 observations, not the raw 800-prompt collection.
  12. Small-count brands carry wider variation risk. Grasshopper's 166 valid recommendations and 41 top-three placements provide a sufficient base for directional analysis, but month-to-month movements at this scale should be read as directional rather than definitive.

See How AI Is Recommending Your Brand

The public benchmark shows where Grasshopper is winning and losing at the recommendation stage. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and citation sources behind those movements into a prioritized strategy. It answers not just what changed, but why it changed and what to do next.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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